Fig. 2

Architecture of the deep neural network that carries out the unrolled iterative reconstruction for N steps. Each green phase plate defines the application of Eqs. (25) and (27). The internal structure of the F operator is shown in the inset. These operators are made of a train of convolutional layers with ReLU activation functions that generate Nf channels. The last layer is followed by a ReLU activation function and another linear layer.
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